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ipython 0.13

IPython: Productive Interactive Computing

Latest Version: 6.2.1

IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are:

  • Powerful interactive Python shells (terminal- and Qt-based).
  • A web-based interactive notebook environment with all shell features plus support for embedded figures, animations and rich media.
  • Support for interactive data visualization and use of GUI toolkits.
  • Flexible, embeddable interpreters to load into your own projects.
  • A high-performance library for high level and interactive parallel computing that works in multicore systems, clusters, supercomputing and cloud scenarios.

The enhanced interactive Python shells have the following main features:

  • Comprehensive object introspection.
  • Input history, persistent across sessions.
  • Caching of output results during a session with automatically generated references.
  • Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords.
  • Extensible system of ‘magic’ commands for controlling the environment and performing many tasks related either to IPython or the operating system.
  • A rich configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time).
  • Session logging and reloading.
  • Extensible syntax processing for special purpose situations.
  • Access to the system shell with user-extensible alias system.
  • Easily embeddable in other Python programs and GUIs.
  • Integrated access to the pdb debugger and the Python profiler.

The parallel computing architecture has the following main features:

  • Quickly parallelize Python code from an interactive Python/IPython session.
  • A flexible and dynamic process model that be deployed on anything from multicore workstations to supercomputers.
  • An architecture that supports many different styles of parallelism, from message passing to task farming.
  • Both blocking and fully asynchronous interfaces.
  • High level APIs that enable many things to be parallelized in a few lines of code.
  • Share live parallel jobs with other users securely.
  • Dynamically load balanced task farming system.
  • Robust error handling in parallel code.

The latest development version is always available from IPython’s GitHub site.

File Type Py Version Uploaded on Size
ipython-0.13-py2.7.egg (md5) Python Egg 2.7 2012-06-30 3MB
ipython-0.13.py2-win-amd64.exe (md5) MS Windows installer any 2012-06-30 2MB
ipython-0.13.py2-win32.exe (md5) MS Windows installer any 2012-07-01 2MB
ipython-0.13.py3-win-amd64.exe (md5) MS Windows installer any 2012-07-01 2MB
ipython-0.13.py3-win32.exe (md5) MS Windows installer any 2012-07-01 2MB
ipython-0.13.tar.gz (md5) Source 2012-06-30 5MB (md5) Source 2012-06-30 6MB